EP4362778A4 - METHOD FOR EVALUATING CONCOMITANT CLINICAL DEMENTIA SCORE AND FUTURE OUTCOME USING A PREDICTED AGE DIFFERENCE AND PROGRAM THEREFOR - Google Patents
METHOD FOR EVALUATING CONCOMITANT CLINICAL DEMENTIA SCORE AND FUTURE OUTCOME USING A PREDICTED AGE DIFFERENCE AND PROGRAM THEREFORInfo
- Publication number
- EP4362778A4 EP4362778A4 EP22833843.0A EP22833843A EP4362778A4 EP 4362778 A4 EP4362778 A4 EP 4362778A4 EP 22833843 A EP22833843 A EP 22833843A EP 4362778 A4 EP4362778 A4 EP 4362778A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- evaluating
- program
- clinical dementia
- age difference
- dementia rating
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
- G06T7/0016—Biomedical image inspection using an image reference approach involving temporal comparison
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2576/00—Medical imaging apparatus involving image processing or analysis
- A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
- A61B2576/026—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
- G06T2207/10092—Diffusion tensor magnetic resonance imaging [DTI]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30016—Brain
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Surgery (AREA)
- Neurology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Physiology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Artificial Intelligence (AREA)
- Radiology & Medical Imaging (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- High Energy & Nuclear Physics (AREA)
- General Physics & Mathematics (AREA)
- Child & Adolescent Psychology (AREA)
- Developmental Disabilities (AREA)
- Hospice & Palliative Care (AREA)
- Quality & Reliability (AREA)
- Psychology (AREA)
- Neurosurgery (AREA)
- Evolutionary Computation (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202163216028P | 2021-06-29 | 2021-06-29 | |
| PCT/US2022/021873 WO2023277980A1 (en) | 2021-06-29 | 2022-03-25 | Method of evaluating concomitant clinical dementia rating and its future outcome using predicted age difference and program thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP4362778A1 EP4362778A1 (en) | 2024-05-08 |
| EP4362778A4 true EP4362778A4 (en) | 2025-01-08 |
Family
ID=84693414
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP22833843.0A Pending EP4362778A4 (en) | 2021-06-29 | 2022-03-25 | METHOD FOR EVALUATING CONCOMITANT CLINICAL DEMENTIA SCORE AND FUTURE OUTCOME USING A PREDICTED AGE DIFFERENCE AND PROGRAM THEREFOR |
Country Status (8)
| Country | Link |
|---|---|
| US (2) | US11589800B2 (https=) |
| EP (1) | EP4362778A4 (https=) |
| JP (1) | JP2024524497A (https=) |
| KR (1) | KR102873399B1 (https=) |
| CN (2) | CN120732391A (https=) |
| AU (1) | AU2022304526B2 (https=) |
| CA (1) | CA3221182A1 (https=) |
| WO (1) | WO2023277980A1 (https=) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021222029A1 (en) * | 2020-04-30 | 2021-11-04 | The Board Of Regents Of The University Of Texas System | Methods and systems for analyzing a central nervous system based on brainstem structural characteristics |
| AU2023257288A1 (en) * | 2022-04-22 | 2024-08-22 | NeuroGeneces Inc. | Sensing system with features for determining physiological metrics of a subject and for predicting electrophysiological events of a subject |
| CN117788897B (zh) * | 2023-12-20 | 2024-07-12 | 首都医科大学附属北京友谊医院 | 大脑年龄预测方法、装置、设备及存储介质 |
| WO2025188294A1 (en) * | 2024-03-05 | 2025-09-12 | National Yang Ming Chiao Tung University | Method of brain age prediction for bipolar disorder patients using multimodal mri and machine learning |
| WO2025191273A1 (en) * | 2024-03-14 | 2025-09-18 | Oxcitas Ltd | Method for processing images of a brain |
| WO2025207770A1 (en) * | 2024-03-26 | 2025-10-02 | Linus Health, Inc. | Machine-learning enabled clinical decision support system for cognitive and movement disorders |
| CN118749944B (zh) * | 2024-06-26 | 2026-02-10 | 首都医科大学附属北京友谊医院 | 认知状态检测方法、模型训练方法、装置、设备和介质 |
| CN118691906B (zh) * | 2024-07-18 | 2025-09-26 | 首都医科大学附属北京友谊医院 | 认知状态分类方法、装置、设备和存储介质 |
| CN119379626A (zh) * | 2024-10-11 | 2025-01-28 | 西安交通大学 | 一种脑龄预测方法、装置、设备及存储介质 |
| CN119601247B (zh) * | 2024-11-14 | 2026-01-02 | 中国人民解放军空军军医大学 | 一种2型糖尿病认知功能减退预测系统及方法 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190150822A1 (en) * | 2016-04-29 | 2019-05-23 | Washington University | System and method for multi-modality quantification of neuroinflammation in central nervous system diseases |
Family Cites Families (18)
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|---|---|---|---|---|
| US6581048B1 (en) * | 1996-06-04 | 2003-06-17 | Paul J. Werbos | 3-brain architecture for an intelligent decision and control system |
| CA2570539A1 (en) * | 2004-06-18 | 2006-01-26 | Banner Health | Evaluation of a treatment to decrease the risk of a progressive brain disorder or to slow brain aging |
| US8626264B1 (en) * | 2008-04-09 | 2014-01-07 | James T. Beran | Obtaining information about brain activity |
| US20100249573A1 (en) * | 2009-03-30 | 2010-09-30 | Marks Donald H | Brain function decoding process and system |
| US8742754B2 (en) * | 2010-02-16 | 2014-06-03 | Board Of Regents Of The University Of Texas System | Method and system for diffusion tensor imaging |
| US20110301431A1 (en) * | 2010-06-05 | 2011-12-08 | The Board Of Trustees Of The Leland Stanford Junior University | Methods of classifying cognitive states and traits and applications thereof |
| US9940712B2 (en) * | 2014-04-25 | 2018-04-10 | The Regents Of The University Of California | Quantitating disease progression from the MRI images of multiple sclerosis patients |
| WO2018106713A1 (en) * | 2016-12-06 | 2018-06-14 | Darmiyan, Inc. | Methods and systems for identifying brain disorders |
| WO2019070745A1 (en) * | 2017-10-02 | 2019-04-11 | Blackthorn Therapeutics, Inc. | METHODS AND SYSTEMS FOR COMPUTER-GENERATED PREDICTIVE APPLICATION OF NEURO-IMAGING MAPPING DATA AND GENE EXPRESSION |
| US10365340B1 (en) * | 2018-03-01 | 2019-07-30 | Siemens Medical Solutions Usa, Inc. | Monitoring dynamics of patient brain state during neurosurgical procedures |
| US12232843B2 (en) * | 2018-03-07 | 2025-02-25 | Institut National De La Sante Et De La Recherche Medicale (Inserm) | Method for early prediction of neurodegenerative decline |
| CN112292691B (zh) * | 2018-06-18 | 2024-06-04 | 谷歌有限责任公司 | 用于使用深度学习提高癌症检测的方法与系统 |
| CN109147941A (zh) * | 2018-10-17 | 2019-01-04 | 上海交通大学 | 基于结构磁共振影像数据的大脑健壮性评估方法 |
| CN110689536B (zh) * | 2019-09-30 | 2023-07-18 | 深圳大学 | 基于多模态磁共振影像的大脑灰质及白质追踪方法及装置 |
| CN111631715B (zh) * | 2020-07-08 | 2023-03-14 | 上海海事大学 | 一种阿尔茨海默症早期认知功能下降预测方法 |
| US12354256B2 (en) * | 2020-10-19 | 2025-07-08 | Northwestern University | Brain feature prediction using geometric deep learning on graph representations of medical image data |
| CN112674720B (zh) * | 2020-12-24 | 2022-03-22 | 四川大学 | 基于3d卷积神经网络的阿尔茨海默症的预判断方法 |
| US11263749B1 (en) * | 2021-06-04 | 2022-03-01 | In-Med Prognostics Inc. | Predictive prognosis based on multimodal analysis |
-
2022
- 2022-03-25 CA CA3221182A patent/CA3221182A1/en active Pending
- 2022-03-25 WO PCT/US2022/021873 patent/WO2023277980A1/en not_active Ceased
- 2022-03-25 KR KR1020247002437A patent/KR102873399B1/ko active Active
- 2022-03-25 US US17/704,287 patent/US11589800B2/en active Active
- 2022-03-25 CN CN202510847802.4A patent/CN120732391A/zh active Pending
- 2022-03-25 JP JP2023581059A patent/JP2024524497A/ja active Pending
- 2022-03-25 CN CN202280038961.4A patent/CN118175954B/zh active Active
- 2022-03-25 EP EP22833843.0A patent/EP4362778A4/en active Pending
- 2022-03-25 AU AU2022304526A patent/AU2022304526B2/en active Active
- 2022-11-22 US US17/992,005 patent/US11751798B2/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190150822A1 (en) * | 2016-04-29 | 2019-05-23 | Washington University | System and method for multi-modality quantification of neuroinflammation in central nervous system diseases |
Non-Patent Citations (8)
| Title |
|---|
| AZOR ADRIANA M. ET AL: "Increased brain age in adults with Prader-Willi syndrome", NEUROIMAGE: CLINICAL, vol. 21, 1 January 2019 (2019-01-01), pages 101664, XP093227441, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2019.101664 * |
| BEHESHTI IMAN ET AL: "T1-weighted MRI-driven Brain Age Estimation in Alzheimer's Disease and Parkinson's Disease", AGING AND DISEASE, vol. 11, no. 3, 1 January 2020 (2020-01-01), US, pages 618, XP093227427, ISSN: 2152-5250, DOI: 10.14336/AD.2019.0617 * |
| CHEN CHANG-LE ET AL: "Premature white matter aging in patients with right mesial temporal lobe epilepsy: A machine learning approach based on diffusion MRI data", vol. 24, 1 January 2019 (2019-01-01), pages 102033, XP093227438, ISSN: 2213-1582, Retrieved from the Internet <URL:https://pdf.sciencedirectassets.com/282794/1-s2.0-S2213158219X00042/1-s2.0-S2213158219303638/main.pdf?hash=8d0b78e9612dd7053ae7ab6fa1b0618a1a34f9b77a336a7282cc82979e6bcd16&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2213158219303638&tid=spdf-d58e871f-2669-46c4-a56c-982> DOI: 10.1016/j.nicl.2019.102033 * |
| JAMES H COLE ET AL: "Prediction of brain age suggests accelerated atrophy after traumatic brain injury", ANNALS OF NEUROLOGY, JOHN WILEY AND SONS, BOSTON , US, vol. 77, no. 4, 25 March 2015 (2015-03-25), pages 571 - 581, XP071641499, ISSN: 0364-5134, DOI: 10.1002/ANA.24367 * |
| See also references of WO2023277980A1 * |
| T?NNESEN SIREN ET AL: "Brain Age Prediction Reveals Aberrant Brain White Matter in Schizophrenia and Bipolar Disorder: A Multisample Diffusion Tensor Imaging Study", BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING, vol. 5, no. 12, 1 December 2020 (2020-12-01), pages 1095 - 1103, XP093227435, ISSN: 2451-9022, DOI: 10.1016/j.bpsc.2020.06.014 * |
| WEN JUNHAO ET AL: "Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease", NEUROINFORMATICS, vol. 19, no. 1, 10 June 2020 (2020-06-10), pages 57 - 78, XP037328242, ISSN: 1539-2791, DOI: 10.1007/S12021-020-09469-5 * |
| YUE CUI ET AL: "Automated detection of amnestic mild cognitive impairment in community-dwelling elderly adults: A combined spatial atrophy and white matter alteration approach", NEUROIMAGE, ELSEVIER, AMSTERDAM, NL, vol. 59, no. 2, 9 August 2011 (2011-08-09), pages 1209 - 1217, XP028392980, ISSN: 1053-8119, [retrieved on 20110816], DOI: 10.1016/J.NEUROIMAGE.2011.08.013 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3221182A1 (en) | 2023-01-05 |
| US20230000424A1 (en) | 2023-01-05 |
| CN120732391A (zh) | 2025-10-03 |
| CN118175954B (zh) | 2025-06-03 |
| CN118175954A (zh) | 2024-06-11 |
| WO2023277980A9 (en) | 2023-08-17 |
| US11589800B2 (en) | 2023-02-28 |
| US20230086483A1 (en) | 2023-03-23 |
| AU2022304526A1 (en) | 2023-12-07 |
| US11751798B2 (en) | 2023-09-12 |
| JP2024524497A (ja) | 2024-07-05 |
| WO2023277980A1 (en) | 2023-01-05 |
| EP4362778A1 (en) | 2024-05-08 |
| KR102873399B1 (ko) | 2025-10-17 |
| AU2022304526B2 (en) | 2025-04-17 |
| KR20240027714A (ko) | 2024-03-04 |
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